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← Lila Sciences

Software Engineer, AI Platform

Lila Sciences · Cambridge, MA USA · One Charles Park, Cambridge, MA

CHECKED 13H AGO

Bio & Science AIonsitesenior$148k–$210k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build software that powers ML workflows and research tooling with ML experts.
  • Design high-performance ML libraries implementing researcher-designed algorithms.
  • Build data pipelines linking lab data to ML teams to accelerate discovery.

What they offer

  • bonus potential
  • generous early-stage equity
  • medical, dental, and vision coverage
  • employer-paid life and disability insurance
  • flexible time off with generous company holidays
  • paid parental leave
  • educational assistance program
  • commuter benefits
  • company subsidized lunch program

Ideal candidate

Seasoned software builder with 8+ years experience who thrives partnering with researchers. Team-first, curious self-starter who loves turning complex algorithms into robust, well-documented tools for fast-paced science.

Requirements

  • Minimum of 8 years writing software in a commercial setting in Go or Python
  • Experience implementing scalable software solutions
  • Experience with MLOps systems and GitOps (ArgoCD, Github Actions)
  • Familiarity with orchestration frameworks (Ray, Argo, Airflow)
  • Proficiency in containerization, Kubernetes and infrastructure-as-code tools
  • Acute listening skills and patience to deeply understand complex problems and algorithms
  • Excellent problem-solving skills and team-first mentality
  • Energetic self-starter and independent thinker with strong attention to detail
  • Eager to work with highly skilled teams in a fast-paced, entrepreneurial setting

Lab profile

About Lila Sciences

Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.

What they build

  • Autonomous Science Platform
  • AI-designed biologics validated in wet-lab
  • Electro-optic materials and photonic devices

Known for

  • Large-scale automated data generation
  • High-throughput protein purification and analytics
  • Protein design and BioML modeling
  • Robotic orchestration and lab simulation
More about Lila Sciences →
Apply on the lab’s site ↗